Mexico Agriculture Automated Weather Station Data

This dataset contains meteorological data from the Mexican Agriculture Automated Weather Stations in Sonora. More information can be found at http://www.agroson.org.mx. The web site is in Spanish.

To Access Resource:

Questions? Email Resource Support Contact:

  • EOL Data Support
    datahelp@eol.ucar.edu
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2004-06-01T00:00:00Z
    End:  2004-09-30T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2004-06-01T00:00:00Z
Temporal Range End 2004-09-30T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 29.15000
Bounding Box South Lat 26.55000
Bounding Box West Long -111.75000
Bounding Box East Long -109.35000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : informacion.html

Documentation #2 : instrumentation.html

Documentation #3 : station.list

Additional Information N/A
Resource Format ASCII: ASCII Text (text/plain)
Standardized Resource Format ASCII
Asset Size 11 MB
Legal Constraints

none


Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Julio César Rodríguez
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2007-10-25T08:02:14
Digital Object Identifier (DOI) https://doi.org/10.26023/SSXG-RS28-0S00
Alternate Identifier 82.104
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-12-26T23:51:07Z
Metadata Record Identifier edu.ucar.eol::82.104
Metadata Language eng; USA
Suggested Citation Julio César Rodríguez. (2007). Mexico Agriculture Automated Weather Station Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/SSXG-RS28-0S00. Accessed 27 December 2024.

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